Natural Language Processing in Artificial Intelligence

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features:Addresses the functional frameworks and workflow that are trending in NLP and AILooks at the latest technologies and the major challenges, issues, and advances in NLP and AIExplores an intelligent field monitoring and automated system through AI with NLP and its implications for the real worldDiscusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

1. A Survey on Social Business Intelligence: A Case Study of Applications of Dynamic Social Networks for Decision MakingSubrata Paul, Chandan Koner, and Anirban Mitra2. Critical Concepts and Techniques for Information Retrieval SystemsMohd Shahid Husain3. Futurity of Translation Algorithms for Neural Machine Translation (NMT) and Its VisionK. Mandal et al.4. Role of Machine Learning and Application toward Information Retrieval in CloudsMishra Sambit Kumar, Mishra Brojo Kishore, and Prasad Suman Sourav5. Ontology-Based Information Retrieval and Matching in IoT ApplicationsM. Lawanya Shri et al.6. Parts-of-Speech Tagging in NLP: Utility, Types, and Some Popular PoS TaggersSoumitra Ghosh and Brojo Kishore Mishra7. Text MiningS. Karthikeyan et al.8. A Brief Overview of Natural Language Processing and Artificial IntelligenceSushree Bibhuprada B. Priyadarshini, Amiya Bhusan Bagjadab, and Brojo Kishore Mishra9. Use of Machine Learning and a Natural Language Processing Approach for Detecting Phishing AttacksChandrakanta Mahanty, Devpriya Panda, and Brojo Kishore Mishra10. Role of Computational Intelligence in Natural Language ProcessingBishwa Ranjan Das and Brojokishore Mishra

Brojo Kishore Mishra, PhD, is a Professor in the Computer Science and Engineering Departmentat the Gandhi Institute of Engineering and Technology University (GIET), Gunupur, Odisha, India.He has published more than 30 research papers in national and international conferenceproceedings, over 25 research papers in peer-reviewed journals, and over 20 book chapters, andhas authored two books and edited three books to date. His research interests include datamining and big data analysis, machine learning, soft computing, and evolutionary computation.Raghvendra Kumar, PhD, is an Associate Professor in the Computer Science and EngineeringDepartment at GIET University, India. He was formerly associated with the Lakshmi NarainCollege of Technology, Jabalpur, Madhya Pradesh, India. He also serves as Director of the IT andData Science Department at the Vietnam Center of Research in Economics, Management,Environment, Hanoi, Vietnam. Dr. Kumar serves as editor of the book series Internet ofEverything: Security and Privacy Paradigm and the book series Biomedical Engineering:Techniques and Applications. He has published a number of research papers in internationaljournals and has served in many roles for international and national conferences.